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AI Software Engineer

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: ADP, Inc.
Full Time position
Listed on 2026-09-16
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

AI Software Engineer

Regular Full-Time Professional Bay Area San Jose, CA, US

Salary Range: $ To $ Annually

We are a small, forward-thinking research group within a network device manufacturer, responsible for shaping the vision and implementation of AI-powered capabilities across our product portfolio. We're looking for a mid-level software developer who is passionate about applied AI and wants to work on problems that sit at the intersection of intelligent systems and real-world networking infrastructure.

Candidates must be located in the Bay Area or San Diego, CA

Essential Duties and Responsibilities:

Contribute to building and maintaining agentic AI workflows using Lang Graph, designing and extending our growing library of MCP servers,

Improve the RAG pipelines that power our knowledge-retrieval systems — all primarily in Python.

Work closely with a tight-knit team where your ideas carry weight and your contributions are visible.

Education / Training:
  • Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Experience, Skills & Abilities:

2-3 years of software development experience with strong Python fundamentals and has hands-on familiarity with at least some of the AI/ML tooling landscape — whether that's LLM APIs, vector stores, retrieval-augmented generation patterns, or agent frameworks.

Comfortable navigating ambiguity, can move fluidly between prototyping and production-quality code, and have enough curiosity about networking or enterprise infrastructure to appreciate the domain problems we're solving.

Experience with MCP (Model Context Protocol) is a plus but not required; enthusiasm for learning it is. We value clear thinkers who communicate well in a small-team environment over specialists with narrow credentials.

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